Parallel Computing for Data Science : With Examples in R, C++ and CUDA Hardback
by Norman Matloff
Part of the Chapman & Hall/CRC The R Series series
Hardback
Description
Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate exclusively on parallel data structures, algorithms, software tools, and applications in data science.
It includes examples not only from the classic "n observations, p variables" matrix format but also from time series, network graph models, and numerous other structures common in data science.
The examples illustrate the range of issues encountered in parallel programming. With the main focus on computation, the book shows how to compute on three types of platforms: multicore systems, clusters, and graphics processing units (GPUs).
It also discusses software packages that span more than one type of hardware and can be used from more than one type of programming language.
Readers will find that the foundation established in this book will generalize well to other languages, such as Python and Julia.
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:328 pages, 4 Tables, black and white; 7 Illustrations, black and white
- Publisher:Taylor & Francis Inc
- Publication Date:04/06/2015
- Category:
- ISBN:9781466587014
Other Formats
- Paperback / softback from £44.75
- PDF from £41.39
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:328 pages, 4 Tables, black and white; 7 Illustrations, black and white
- Publisher:Taylor & Francis Inc
- Publication Date:04/06/2015
- Category:
- ISBN:9781466587014
